AI Architect- Agentic AI & RAG

Job Overview :

We are looking for an experienced AI Architect to lead solution design and development efforts in the areas of Agentic AI and Retrieval-Augmented Generation (RAG) . The ideal candidate will have strong experience working with large language models (LLMs), building intelligent applications using frameworks like LangChain or LlamaIndex, and designing scalable AI pipelines.

Key Responsibilities :

• Design and implement RAG-based systems combining LLMs with vector databases and internal document sources.
• Build task-based AI agents (e.g., chatbots, assistants) that can perform multi-step operations and integrate with external tools or APIs.
• Develop and maintain prompt templates , embedding pipelines, and orchestrators using frameworks like LangChain, LlamaIndex , etc.
• Work with data and ML teams to connect AI applications with enterprise knowledge sources (SharePoint, Confluence, databases, etc.).
• Evaluate and integrate embedding models , vector databases (FAISS, Pinecone, Chroma), and LLM APIs (OpenAI, Azure OpenAI, etc.).
• Collaborate with cross-functional teams to identify use cases, define architecture, and deliver PoCs or MVPs.
• Contribute to CoE documentation, reusable components, and architecture patterns for RAG and agent-based solutions.

Required Skills :